Michael T. Lu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 4

Top Topics

Learning Models

Logistic Regression

Computer Aided Detection

Top Venues

npj Digit. Medicine

Publications

Yanru Chen, Michael T. Lu, Vineet K. Raghu
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images. CoRR (2023)
Yanru Chen, Michael T. Lu, Vineet K. Raghu
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images. MIDL (2023)
Roman Zeleznik, Jakob Weiss, Jana Taron, Christian Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. npj Digit. Medicine 4 (2021)
Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts
ModelHub.AI: Dissemination Platform for Deep Learning Models. CoRR (2019)